| 2025 | AAAI | Selective Uncertainty Propagation in Offline RL. | Sanath Kumar Krishnamurthy, Tanmay Gangwani, Sumeet Katariya, Branislav Kveton, Shrey Modi, Anshuka Rangi |
| 2024 | AISTATS | Multi-objective Optimization via Wasserstein-Fisher-Rao Gradient Flow. | Yinuo Ren, Tesi Xiao, Tanmay Gangwani, Anshuka Rangi, Holakou Rahmanian, Lexing Ying, Subhajit Sanyal |
| 2022 | ICLR | Imitation Learning from Observations under Transition Model Disparity. | Tanmay Gangwani, Yuan Zhou, Jian Peng |
| 2022 | ICLR | Hindsight Foresight Relabeling for Meta-Reinforcement Learning. | Michael Wan, Jian Peng, Tanmay Gangwani |
| 2020 | CoRL | Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity. | Tanmay Gangwani, Jian Peng, Yuan Zhou |
| 2020 | ICLR | State-only Imitation with Transition Dynamics Mismatch. | Tanmay Gangwani, Jian Peng |
| 2020 | ICS | Snug: architectural support for relaxed concurrent priority queueing in chip multiprocessors. | Azin Heidarshenas, Tanmay Gangwani, Serif Yesil, Adam Morrison, Josep Torrellas |
| 2020 | UAI | Mutual Information Based Knowledge Transfer Under State-Action Dimension Mismatch. | Michael Wan, Tanmay Gangwani, Jian Peng |
| 2019 | ICLR | Learning Self-Imitating Diverse Policies. | Tanmay Gangwani, Qiang Liu, Jian Peng |
| 2019 | UAI | Learning Belief Representations for Imitation Learning in POMDPs. | Tanmay Gangwani, Joel Lehman, Qiang Liu, Jian Peng |
| 2018 | ICLR | Policy Optimization by Genetic Distillation. | Tanmay Gangwani, Jian Peng |
| 2016 | ASPLOS | CASPAR: Breaking Serialization in Lock-Free Multicore Synchronization. | Tanmay Gangwani, Adam Morrison, Josep Torrellas |